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The use of synthetic data in tourism

Author

Listed:
  • Viglia, Giampaolo
  • Adler, Susanne J.
  • Miltgen, Caroline Lancelot
  • Sarstedt, Marko

Abstract

•Large language models can support stimuli evaluation.•Synthetic data suits early research such as pretests; avoid it for main studies.•Prompt-tuning and fine-tuning improve large language model's responses.

Suggested Citation

  • Viglia, Giampaolo & Adler, Susanne J. & Miltgen, Caroline Lancelot & Sarstedt, Marko, 2024. "The use of synthetic data in tourism," Annals of Tourism Research, Elsevier, vol. 108(C).
    • Handle: RePEc:eee:anture:v:108:y:2024:i:c:s0160738324000963
    DOI: 10.1016/j.annals.2024.103819
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    References listed on IDEAS

    as
    1. Hoffmann, Stefan & Lasarov, Wassili & Dwivedi, Yogesh K., 2024. "AI-empowered scale development: Testing the potential of ChatGPT," Technological Forecasting and Social Change, Elsevier, vol. 205(C).
    2. Liu, Yan & Cao, Xinyue & Font, Xavier, 2024. "Nudge pro-environmental contagion: Residents to tourists," Annals of Tourism Research, Elsevier, vol. 105(C).
    3. Peiyao Li & Noah Castelo & Zsolt Katona & Miklos Sarvary, 2024. "Frontiers: Determining the Validity of Large Language Models for Automated Perceptual Analysis," Marketing Science, INFORMS, vol. 43(2), pages 254-266, March.
    4. Arthur Spirling, 2023. "Why open-source generative AI models are an ethical way forward for science," Nature, Nature, vol. 616(7957), pages 413-413, April.
    5. Miao, Li & Yang, Fiona X. & Im, Jinyoung & Zhang, Qiao, 2024. "Flexwork and flextravel," Annals of Tourism Research, Elsevier, vol. 106(C).
    6. Mahuya Adhikary & Atanu Adhikari, 2019. "Micro-modelling of individual tourist’s information-seeking behaviour: a heterogeneity-specific study," Current Issues in Tourism, Taylor & Francis Journals, vol. 22(6), pages 705-728, April.
    7. Tribe, John & Paddison, Brendan, 2024. "Paths from knowledge and theory development to impact," Annals of Tourism Research, Elsevier, vol. 104(C).
    8. Argyle, Lisa P. & Busby, Ethan C. & Fulda, Nancy & Gubler, Joshua R. & Rytting, Christopher & Wingate, David, 2023. "Out of One, Many: Using Language Models to Simulate Human Samples," Political Analysis, Cambridge University Press, vol. 31(3), pages 337-351, July.
    9. S. Hoffmann & W. Lasarov & Y. Dwivedi, 2024. "AI-empowered Scale Development: Testing the Potential of ChatGPT," Post-Print hal-04607717, HAL.
    Full references (including those not matched with items on IDEAS)

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